Artificial Intelligence for Utilities

Artificial Intelligence for Utilities

February 13, 2024 | Online :: Central Time

As the electric utilities and energy producers grapple with the urgent need for enhanced efficiency, resiliency, and operational excellence, this technical conference serves as the pivotal platform for unveiling cutting-edge artificial intelligence and machine learning solutions and insights.

Attendees and speakers will explore AI-driven predictive maintenance, remote monitoring techniques, personalized consumption predictions, and seamless data migration. From energy demand forecasting and grid resiliency to ethical AI implementation, our panels and presentations encompass the full spectrum of challenges and opportunities in the energy landscape.

Learning Outcomes

  • Develop a practical understanding of regulatory strategies for responsible Artificial Intelligence deployment within utilities
  • Explore innovative technologies and strategies driving grid transformation, actively contributing to future utility planning
  • Analyze the transformative impact of computer vision technology in transmission line maintenance, emphasizing safety and efficiency enhancements
  • Evaluate the practical applications of digital twin technologies for enhancing situational awareness in utility grid management
  • Implement knowledge management AI techniques for enhancing enterprise efficiency and customer service within utility enterprises
  • Apply AI-driven cybersecurity strategies to actively safeguard utility infrastructure, detecting and responding to cyber threats effectively
  • Engage actively in a discussion on the ethical considerations of AI in electric utilities, identifying potential pitfalls and driving inclusive, environmentally responsible AI transformations

Agenda

Tuesday, February 13, 2024 : Central Time

8:45 – 9:00 a.m.
Log In and Welcome

12:00 – 1:00 p.m.
Lunch Break

9:00 a.m. – 4:30 p.m.
Conference Timing

 

9:00 – 10:00 a.m. :: Round Table Discussion: Navigating the Ethical Terrain: AI in Electric Utilities

Join our distinguished panel of industry leaders, AI experts, and policymakers as they engage in a thought-provoking discussion on the ethical considerations surrounding AI in electric utilities. Explore potential pitfalls, such as managing skewed datasets, addressing pollution and its impact on environmental justice, ensuring water quality through AI-driven solutions, and promoting equitable access to EV chargers. By delving into these challenges, we collectively shape a responsible and sustainable AI-driven future for the industry, safeguarding the welfare of customers, society, and the environment. This discussion is crucial in ensuring that as AI continues to transform the sector, it does so ethically, with a keen focus on inclusivity and environmental responsibility.

Travis Bronson, Lead Artificial Intelligence Specialist, Duke Energy Corporation

Ian Fitzgerald, MBA, MSc, Chief Technology Officer, Chelan PUD

Matthew Peacore, Principal Manager – Strategy, Innovation and Advanced Analytics, Southern California Edison

10:00 – 10:10 a.m. :: Morning Break

10:10 – 11:00 a.m. :: Case Study: Enhancing Transmission Line Safety and Efficiency

This session explores how computer vision technology reshaped transmission line maintenance following a safety incident in 2021. By substituting helicopter inspections with high-resolution aerial imagery, the speaker successfully detected faults and comprehensively cataloged network assets, ensuring safety and efficiency.

Travis Bronson, Lead Artificial Intelligence Specialist, Duke Energy Corporation

11:00 a.m. – 12:00 p.m. :: Improving Grid Awareness with Digital Twin Technologies

As an increasing amount of intermittent renewable resources penetrate the utility grids, it becomes more challenging for grid planners and operators to manage those resources. One biggest roadblock is lack of timely situational awareness. Digital twin technologies can enable access to data from wind, solar, storage, EV charging stations, and support advance analysis using Artificial Intelligence. The industry is more aware of the potential yet still struggles to define valid use cases. Dr. Yang will take the audience through current landscape of digital twin development and discuss gaps and opportunities.

Dr. Bo Yang, Senior Director – Power and Energy, Hitachi America, Ltd.

12:00 – 1:00 p.m. :: Lunch Break

1:00 – 2:00 p.m. :: Empowering Utility Enterprises: Knowledge Management

Explore the critical role of knowledge management style AI in enhancing enterprise efficiency, with a specific focus on implementing employee dashboards, call center ticketing, optimizing information access, and streamlining operations for enhanced customer service and support.

Tricia Yamagata, Principal Manager – Digital & Process Transformation, Southern California Edison

Grant Littman, Principal Manager, Digital Customer Experience, Southern California Edison

Shwetha Reddy, Senior Manager, Southern California Edison

2:00 – 2:50 p.m. :: Protecting Utility Infrastructure: The AI-Powered Shield Against Cybersecurity Threats

Human behavior has always been seen as a risk when it comes to protecting against cyber-attacks.  What if we can use human and machine behavior to protect our systems instead? See how Machine Learning AI can make this happen.

Ian Fitzgerald, MBA, MSc, Chief Technology Officer, Chelan PUD

2:50 – 3:05 p.m. :: Afternoon Break

3:05 – 4:00 p.m. :: Data Analytics for Predicting Asset Failures in Distribution Transformers

Explore the innovative data analytics product developed for power delivery, focusing on how advanced metering infrastructure (AMI) data is harnessed to predict asset failures on the distribution side, enhancing operational efficiency and reliability.

Dheeraj Segapalli, Agile Analytics Portfolio Manager, Entergy

4:00 – 4:30 p.m. :: Case Study: Department of Energy, Ethical AI in Action

This session delves into compelling case studies from the Department of Energy, illuminating their ethical AI implementations amidst challenges like skewed data in water/sewer, pollution, and outage scenarios, offering valuable insights into responsible AI deployment.

Steven Wong, Senior Program Manager, Fossil Energy and Carbon Management, Department of Energy

Speakers

Travis Bronson, Lead Artificial Intelligence Specialist, Duke Energy Corporation

Ian Fitzgerald, MBA, MSc, Chief Technology Officer, Chelan PUD

Grant Littman, Principal Manager, Digital Customer Experience, Southern California Edison

Matthew Peacore, Principal Manager – Strategy, Innovation and Advanced Analytics, Southern California Edison

Shwetha Reddy, Senior Manager, Southern California Edison

Dheeraj Segapalli, Agile Analytics Portfolio Manager, Entergy

Steven Wong, Senior Program Manager, Fossil Energy and Carbon Management, Department of Energy

Tricia Yamagata, Principal Manager – Digital & Process Transformation, Southern California Edison

Dr. Bo Yang, Senior Director – Power and Energy, Hitachi America, Ltd.

Online Delivery

We will be using Microsoft Teams to facilitate your participation in the upcoming event. You do not need to have an existing Teams account in order to participate in the broadcast – the course will play in your browser and you will have the option of using a microphone to speak with the room and ask questions, or type any questions in via the chat window and our on-site representative will relay your question to the instructor.

  • Microsoft recommends downloading and installing the Teams app if possible. You may also use the Edge browser or Chrome.
  • You will receive a separate email with a unique link to a personalized landing page which will include links to join all sessions of this event.
  • If you are using a microphone, please ensure that it is muted until such time as you need to ask a question.
  • The remote meeting connection will be open approximately 30 minutes before the start of the course. We encourage you to connect as early as possible in case you experience any unforeseen problems.

Register

Please Note: This event is being conducted entirely online. All attendees will connect and attend from their computer, one connection per purchase. For details please see our FAQ

If you are unable to attend at the scheduled date and time, we make recordings available to all attendees for 7 days after the event

REGISTER NOW FOR THIS EVENT:

Artificial Intelligence for Utilities

February 13, 2024 | Online
Individual attendee(s) - $ 895.00 each

Volume pricing also available

Individual attendee tickets can be mixed with ticket packs for complete flexibility

Pack of 5 attendees - $ 3,580.00 (20% discount)
Pack of 10 attendees - $ 6,265.00 (30% discount)
Pack of 20 attendees - $ 10,740.00 (40% discount)

Your registration may be transferred to a member of your organization up to 24 hours in advance of the event. Cancellations must be received on or before January 12, 2024 in order to be refunded and will be subject to a US $195.00 processing fee per registrant. No refunds will be made after this date. Cancellations received after this date will create a credit of the tuition (less processing fee) good toward any other EUCI event. This credit will be good for six months from the cancellation date. In the event of non-attendance, all registration fees will be forfeited. In case of conference cancellation, EUCIs liability is limited to refund of the event registration fee only. For more information regarding administrative policies, such as complaints and refunds, please contact our offices at 303-770-8800

CEUs

Credits

AP_Logo

EUCI is accredited by the International Accreditors for Continuing Education and Training (IACET) and offers IACET CEUs for its learning events that comply with the ANSI/IACET Continuing Education and Training Standard. IACET is recognized internationally as a standard development organization and accrediting body that promotes quality of continuing education and training.

EUCI is authorized by IACET to offer 0.7 CEUs for this event

Requirements for Successful Completion of Program

Participants must log in and be in attendance for the entirety of the course to be eligible for continuing education credit.

Instructional Methods

PowerPoint presentations, video, and Q&A will be used in the program.


Upon successful completion of this event, program participants interested in receiving CPE credits will receive a certificate of completion.

Course CPE Credits: 7.5
There is no prerequisite for this Course.
Program field of study: Specialized Knowledge
Program Level: Basic
Delivery Method: Group Internet Based
Advanced Preparation: None

CpeEUCI is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its web site: www.nasbaregistry.org

 

Who Should Attend

Electric Utilities, Municipal/State Government Agencies, Technology and Software Providers, and Environmental Organizations employees:

  • City/County Manager
  • Chief Information Officer (CIO)
  • Chief Technology Officer (CTO)
  • Chief Information Security Officer
  • Regulatory Affairs Manager
  • Government Policy Analyst
  • Utility Regulatory Specialist
  • Public Works Director
  • Technology and Innovation Manager
  • Grid Planner and Operator
  • Engineering Manager
  • AI Engineer and Machine Learning Engineer
  • Member Services Representative
  • Data Analyst
  • Business Analyst
  • Cybersecurity Specialist
  • Solutions Architect
  • Customer Engagement Manager